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scout

Frame research problems and discover literature, datasets, metrics, and baselines.

Updated May 24, 2026
Search Tags:#research#discovery#scouting#literature#framing
One-click install
npx skills add https://github.com/leoplasture/STA304_Final_Project --skill scout-leoplasture
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scout
Source: https://github.com/leoplasture/STA304_Final_Project/tree/main/src/skills/scout
Command: npx skills add https://github.com/leoplasture/STA304_Final_Project --skill scout-leoplasture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The scout Skill addresses the challenge of unclear research framing, providing a structured approach to problem framing, literature scouting, dataset clarification, metric definition, and baseline discovery.

Core Features & Use Cases

  • Problem Framing: Helps clarify research objectives, metrics, and baseline expectations.
  • Literature Scouting: Guides the user through targeted literature searches to find relevant papers and repositories.
  • Dataset Clarification: Assists in defining datasets and splits for research tasks.
  • Metric Definition: Ensures that evaluation metrics are clearly defined and understood.
  • Baseline Discovery: Identifies and evaluates potential baselines for comparison.
  • Use Case: When starting a new research project, use the scout Skill to define the research scope, find relevant literature, and establish a baseline for comparison.

Quick Start

Use the scout skill to begin framing your research project by providing a brief description of your goal.

Frequently Asked Questions about scout

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is research framing and why is it important for literature scouting?▼

Research framing defines clear objectives, metrics, and baselines to guide literature scouting. It ensures targeted exploration by clarifying datasets and evaluation metrics before searching for relevant papers and repositories.

How do I start framing my research project to find relevant datasets and baselines?▼

To start framing your research project, provide a brief description of your goal. This structured approach helps clarify datasets, define evaluation metrics, and identify potential baselines for comparison.

Can I use this structured approach for dataset clarification and metric definition?▼

Yes, you can use this structured approach for dataset clarification and metric definition. It assists in defining datasets, splits for research tasks, and ensuring evaluation metrics are clearly understood.

What's the best way to discover baselines for comparison in a new research workflow?▼

The best way to discover baselines is using a focused exploration approach that identifies and evaluates potential baselines. This ensures baseline expectations are established during initial problem framing.

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